Marcel Bengs

Marcel Bengs

 

 

 

 

 

 

  Research Assistant

+49 (0)40 42878 3389 

E.3083

  marcel.bengstuhh.de

2019 - today MTEC
2016 - 2018 Northern Institute of Technology Management
2011 - 2018 Hamburg University of Technology

Interests

  • Deep Learning for Medical Image Analysis
  • 4D Spatio-Temporal Deep Learning Architectures

Roles

  • Research assistant
  • PhD student

Publications

2019

  • M. Bengs*, N. Gessert*, A. Schlaefer (2019). 4D Spatio-Temporal Deep Learning with 4D fMRI Data for Autism Spectrum Disorder Classification. International Conference on Medical Imaging with Deep Learning. Accepted. [openReview] *Authors contributed equally

  • N. Gessert*, M. Bengs*, L. Wittig, D. Drömann, T. Keck, A. Schlaefer, D. B. Ellebrecht (2019). Deep Transfer Learning Methods for Colon Cancer Classification in Confocal Laser Microscopy Images. International Journal of Computer Assisted Radiology and Surgery. Accepted. [arxiv][doi]

Student Theses

In general, I supervise student theses with topics on deep learning for medical problems. In case you are interested in this field, contact me via E-Mail. 

Requirements:

  • Very good academic record
  • Very good programming skills (e.g. Python/Java/C/C++)
  • Background knowledge on machine learning and deep learning
  • Motivation and the ability to think critically and work independently

Please provide in your E-Mail:

  • Bachelor certificate and current transcript of records
  • Curriculum Vitae
  • A short text where you highlight your technical interests and related prior experiences